Article: Stamp out fake clinical data by working together by Lisa Bero

Discussion in 'Research methodology news and research' started by Andy, Jan 12, 2022.

  1. Andy

    Andy Committee Member

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    "In mid-2021, a handful of meta-analyses looked at the use of ivermectin, a drug to treat people infected with parasitic worms, against COVID-19. The analyses included data suggesting it was effective, which came from clinical trials that almost certainly did not happen as described. (Problems detected in reported trials include copied data, results for patients who died before the trial began, and disputes about whether a trial occurred at all.)

    A few weeks later, a meta-analysis by Cochrane, an international group that specializes in reviewing evidence in medicine and health, found that ivermectin had not been shown to be effective (M. Popp et al. Cochrane Database Syst. Rev. 7, CD015017; 2021). That analysis took several steps to exclude fraudulent studies. But confusion and distrust continue.

    In my view, most reported clinical trials are conducted properly, but fraudulent studies are still rife, and not confined to COVID-19. An analysis of trial manuscripts submitted to the journal Anaesthesia found that upwards of 40% probably contained false patient data (J. B. Carlisle Anaesthesia 76, 472–479; 2021).

    ....

    Cochrane’s research-integrity team is only two people, working part time — not enough to investigate every possible fraudulent study. That’s why we provide tools to help reviewers detect potential fraud, and templates for asking journals for investigations and retractions. When reviewers find a problem, we advise them to get in touch with authors for more information; if there is no timely, reassuring response, we recommend contacting the journal. If systematic reviewers do not raise alarms, it’s likely that no one will."

    https://www.nature.com/articles/d41586-022-00025-6
     
  2. alktipping

    alktipping Senior Member (Voting Rights)

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    so 40% falsified data and another 40% cherry picked data . and no chance of any real policing of the whole mess .
     
  3. rvallee

    rvallee Senior Member (Voting Rights)

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    Ah. Well that explains a lot. Shmintegrity, amirite?
     

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